AnythingLLM: The Ultimate AI Chatbot for Any Doc or Data

by kevin

AnythingLLM is a comprehensive full-stack application that empowers users to transform any document, resource (such as web links, audio, or video), or content snippet into contextual knowledge, enabling large language models (LLMs) to intelligently utilize these reference materials during conversations.

With AnythingLLM, users can leverage commercial or open-source LLMs and vector databases to build their own private ChatGPT that can run locally or be hosted remotely. This powerful tool allows for intelligent conversations with any provided documents.

Key Features

  • Multi-user instance support and permissioning
  • Agents inside your workspace (browse the web, run code, etc)
  • Custom Embeddable Chat widget for your website
  • Multiple document type support (PDF, TXT, DOCX, etc)
  • Manage documents in your vector database from a simple UI
  • Two chat modes conversation and query. Conversation retains previous questions and amendments. Query is simple QA against your documents
  • In-chat citations
  • 100% Cloud deployment ready.
  • “Bring your own LLM” model.
  • Extremely efficient cost-saving measures for managing very large documents. You’ll never pay to embed a massive document or transcript more than once. 90% more cost effective than other document chatbot solutions.
  • Full Developer API for custom integrations!

Github: https://github.com/Mintplex-Labs/anything-llm

Supported LLMs, Embedder Models, Speech models, and Vector Databases

Language Learning Models:

Embedder models:

Audio Transcription models:

TTS (text-to-speech) support:

STT (speech-to-text) support:

  • Native Browser Built-in (default)

Vector Databases:

Use Cases

This versatile tool can be applied to various scenarios, including but not limited to:

Personal Assistant

Interact with personal documents via chat to retrieve information.

Enterprise Knowledge Management

Build an intelligent Q&A system within an enterprise to boost work efficiency.

Education and Research

Leverage AI to engage with academic materials and support learning.

Multi-User Collaboration

Support multi-user management and permission allocation, ideal for team collaboration.

Getting Started

Installation and Deployment

Creating and Managing Documents

  • AnythingLLM organizes documents into objects called “workspaces,” which are similar to threads and can contain containerized documents.
  • Manage documents in the vector database through a simple user interface.

Selecting LLMs and Embedding Models

  • Support for various open-source and commercial LLMs, including OpenAI, Azure OpenAI, Anthropic, and more.
  • Compatible with multiple embedding models and transcription models.

Chat Modes

  • Two chat modes available: conversation and query
  • Conversation mode retains previous questions and corrections
  • Query mode provides simple Q&A for documents

Customization and Integration

  • Customizable embedded chat window for integration into websites
  • Comprehensive developer API for custom integrations

Development Setup

  1. Use yarn setup to populate the required .env files.
  2. Start the local server with yarn dev:server.
  3. Launch the local frontend using yarn dev:frontend.
  4. Run the document collector with yarn dev:collector.

Telemetry and Privacy

AnythingLLM includes a telemetry feature that collects anonymous usage information to help improve the product. Users can opt out of telemetry by setting DISABLE_TELEMETRY to "true".

By harnessing the power of AnythingLLM, users can create intelligent, context-aware chatbots from any document or resource, revolutionizing the way we interact with and extract insights from information. Whether for personal use, enterprise knowledge management, education, or collaborative projects, AnythingLLM offers a user-friendly and highly customizable solution for leveraging the potential of AI-driven conversations.

Categories: GitHub
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